The traditional approach to administering servers is to log into the server – usually via RDP these days as your data centre may be in a different building and often a different city. From there you can then perform your administrative tasks, log out – you’re not one of those people that doesn’t log out of administrator RDP sessions are you – and proceed to the next task on the next server.
If you have a handful of servers this approach is sustainable. By the time you get into the tens (low tens) of servers it just doesn’t work if you have to touch each server. Let me give you an example: a few years ago I heard a colleague grumbling because they had to go through the event logs on 30 servers to check which ones were showing a particular event. That’s not a quick process!
Before they’d finished the first server I’d written a quick and dirty PowerShell script that checked the event log on each server and counted the number of events of interest that were present. In most cases it was zero – which was good – so the support team could concentrate on the servers that actually had the problem. Those few minutes of scripting saved the support team hours of work and enabled the problem to be resolved much quicker. It also had the additional bonus of introducing the support team to PowerShell and got them interested in solving other problems using an automation approach.
Automating administrative tasks is a great time saver as well as bringing other benefits such as repeatability and consistency into your environment. However, there are some issues above and beyond learning how to automate tasks of which you need to be aware. One of those issues is the number of servers you need to deal with.
When you’re working with a relatively low number of servers you can afford to work sequentially – your script accesses the first server, and then the second, and then the third and so on. A simple example could be:
Back to our example – a list of servers is generated and for each server in that list a call is made using Get-CimInstance to retrieve the computer system information. The server list could be extracted from Active Directory or maintained in a file that you read into the script.
At some point this approach will break down. You’ll have too many servers to process in too short a timeframe. You need to start thinking about performing tasks in parallel. You have a number of options available ranging from the simple, but hard work for you, to the more complicated approaches that involve less work for you. No prizes for guessing which I prefer.
Working in parallel
Whichever approach you end up taking you will be getting PowerShell to run tasks in parallel. That will often require you to have additional instances of PowerShell running. The resources on your admin machine – CPU, memory and network bandwidth – are finite. Keep those in mind so you don’t overload the machine and end up getting nothing back.
Manually splitting the servers
Your first option is to manually split the list of servers you need to access:
Conceptually, the three scripts above show you how to do this. Split the server list into a number of chunks and run each chunk in a separate PowerShell session. As an aside you’ll use slightly less resources if you run the scripts in the PowerShell console rather than in PowerShell ISE. Open both and use Get-Process to see the difference in requirements – especially memory.
Ideally, it would be great if you could get the system to run the scripts in different PowerShell instances. There is a mechanism to do this – it’s called PowerShell jobs. When you run a script as a job it runs in a separate, background instance of PowerShell and you can carry on working.
Converting our individual scripts, we’d end up with something like this:
Passing arguments into the scriptblock
One thing that catches many people is the way you pass arguments into the scriptblock. The -ArgumentList parameter takes an array of arguments. If you just pass the array containing the list of servers:
Then the array will be unravelled and each element will be treated as an individual argument. What this means in practice is that only the first server in the list will be processed. You need to force the argument to be treated as an array by prefixing the variable with a comma:
You don’t have to supply a name for the job, but it does help keep track of what you are doing. When the jobs are started you’ll see something like this (except the State will be Running):
One disadvantage of using PowerShell jobs like this is that the PSComputerName property isn’t correctly populated. In the example above the Name of the machine is SERVER05 but the PSComputerName is set to localhost. Compare this to running directly:
The -Keep parameter ensures that the data is still available in the job if you require to read it again. If you don’t use -Keep. The job’s data is deleted when you use Receive-Job. In either case the job will not be deleted – that has to be done manually:
This takes us a step further but we’re still having to create the sets of servers manually. The simplest way to deal with that is to decide how many servers you want to process in a batch and split the list accordingly:
And some counters:
$i and $j are the indices into the array of server names. $batch is the batch counter.
Create a loop that will run while $i is less than the number of servers in the array. Create an array holding a subset of the servers and a name for the job:
Create the PowerShell job using Start-Job as done previously.
Increment the counters:
$batch increases by 1. $i is increased to 1 after the last index used ($j) and $j is increased by the number of servers per batch. A check is needed that neither $i nor $j exceed the number of servers in the list:
NOTE: This is a very simple case so check the logic doesn’t miss servers if you try this approach.
The number of jobs you can have running at any one time is dependent on the resources available on your system. Many PowerShell cmdlets have an -AsJob parameter so the work is processed as a job. Those cmdlets tend to also have a -ThrottleLimit parameter to limit the number of jobs that can be run simultaneously. This defaults to 32 which seems to be a reasonable starting point. If you want to run more jobs than this simultaneously then you need to test to determine what your system can handle.
PowerShell jobs are a very powerful, but underutilised aspect of PowerShell. The next alternative is also powerful and under used – PowerShell workflow.
PowerShell workflows were one of the headline items in PowerShell 3.0. Workflows are a really strong option if you need parallel processing and/or you need your code to manage and survive a reboot of the remote machine. After an initial flurry the use of workflows seems to have diminished. In the right place they perform admirably.
A PowerShell workflow to perform our task against a number of remote machines would look like this:
The keyword workflow is used to define the workflow. Notice the -parallel parameter on the foreach statement. This instructs the workflow to perform the actions in parallel rather than sequentially.
Also notice that the -ComputerName parameter on Get-CimInstance has changed to -PSComputerName. This is because Get-CimInstance is actually a PowerShell workflow activity rather than a cmdlet. This is one of the confusing oddities of PowerShell workflows that cause problems for people new to PowerShell and workflows.
Running the workflow produces results like this:
Notice that the order in which the results are returned is random(ish). This is an artefact of the way workflows process the commands. If you need the data sorted into a particular order, you’ll need to do that yourself.
Your last option is to use PowerShell runspaces to run your tasks. This is a much more programmatic approach that involves running PowerShell instances – much as you did with PowerShell jobs but without some of the overheads inherent in the PowerShell job system.
This approach involves diving into .NET to a degree so if you’re not happy with that you may want to stick with the earlier options.
Our example looks like this:
The actual work is performed by this code:
Create an array list – this can have members added unlike a standard array. Then, for each server create an instance of PowerShell and tell it which runspace pool to use. Add a script to the PowerShell instance that calls Get-CimInstance. Add the appropriate server name as a parameter.
Start the script – BeginInvoke runs the script asynchronously. Add the instance of PowerShell to the list we created earlier.
The execution progress can be viewed:
The IsCompleted property indicates if the script is still running.
Once the scripts have finished you can retrieve the data:
You should clean up the instances:
And finally clean up the runspace pool:
PowerShell is all about providing options in the way you perform your automation tasks. This article has shown a number of ways that you can perform tasks in parallel to speed up your tasks and ensure they complete in the appropriate time scale.
The options range from the relatively simple manual approach through PowerShell jobs and workflows and finish with a look at programming PowerShell runspaces through PowerShell. Which approach you take is up to you, but however you approach things always remember that if you need to access many remote machines you can do so in parallel.
This article has introduced a number of PowerShell topics – PowerShell jobs, PowerShell workflows, .NET programming with PowerShell. If there is a particular area, you’d like covered in more detail leave a comment and I’ll see what can be arranged.
Beginning use of PowerShell Runspaces – Hey Scripting Guy!